code: def test_jackknife_multiple():
      np.random.seed(0)
      x = np.random.normal(0, 1, 100)
  
      mu1, sig1 = jackknife(x, np.mean, kwargs=dict(axis=1))
      mu2, sig2 = jackknife(x, np.std, kwargs=dict(axis=1))
  
      res = jackknife(x, mean_sigma, kwargs=dict(axis=1))
  
      assert_allclose(res[0], (mu1, sig1))
      assert_allclose(res[1], (mu2, sig2))
  
file_path: astroML/astroML/tests/test_resample.py
imports: import numpy
  from numpy.testing import assert_allclose
  from astroML.resample import bootstrap, jackknife
  from astroML.stats import mean_sigma
label_desc: Use image node_id 2 for calling a global function with example usage: test_jackknife_multiple() without return types